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https://issues.apache.org/jira/browse/LUCENE-1461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12649639#action_12649639
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Michael McCandless commented on LUCENE-1461:
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It seems like the core class here (DisjointMultiFilter) is doing the same thing
as FieldCache's StringIndex? Ie, it builds a data structure that maps String
<-> ord and docID -> ord. So maybe we can merge DisjointMultiFilter into the
FieldCache API.
And then RangeMultiFilter is a great addition for quickly "spawning" numerous
new RangeFilters, having pulled & stored the StringIndex from the FieldCache?
So I think it should live in core org.apache.lucene.search.*? I'd prefer a
different name (RangeMultiFilter implies it can filter over multiple ranges)
but can't think of one. Or maybe we absorb it into RangeFilter, as a different
"rewrite" method like "useFieldCache=true|false"?
> Cached filter for a single term field
> -------------------------------------
>
> Key: LUCENE-1461
> URL: https://issues.apache.org/jira/browse/LUCENE-1461
> Project: Lucene - Java
> Issue Type: New Feature
> Reporter: Tim Sturge
> Attachments: DisjointMultiFilter.java, RangeMultiFilter.java,
> TermMultiFilter.java
>
>
> These classes implement inexpensive range filtering over a field containing a
> single term. They do this by building an integer array of term numbers
> (storing the term->number mapping in a TreeMap) and then implementing a fast
> integer comparison based DocSetIdIterator.
> This code is currently being used to do age range filtering, but could also
> be used to do other date filtering or in any application where there need to
> be multiple filters based on the same single term field. I have an untested
> implementation of single term filtering and have considered but not yet
> implemented term set filtering (useful for location based searches) as well.
> The code here is fairly rough; it works but lacks javadocs and toString() and
> hashCode() methods etc. I'm posting it here to discover if there is other
> interest in this feature; I don't mind fixing it up but would hate to go to
> the effort if it's not going to make it into Lucene.
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